code: def execute_with_gradients(
      func,
      xs,
      /,
      *,
      retain_grads: bool = False,
      xs_grad_idxs: Sequence[Sequence[Union[str, int]]] = ((0,),),
      ret_grad_idxs: Sequence[Sequence[Union[str, int]]] = ((0,),),
  ):
      logging.warning(
          "NumPy does not support autograd, "
          "'execute_with_gradients' returns None in place of function gradients."
      )
      xs = ivy.to_ivy(xs)
      func_ret = func(xs)
      return func_ret, None
  
file_path: ivy/ivy/functional/backends/numpy/gradients.py
imports: import logging
  from typing import Sequence, Union
  import ivy
label_desc: Use image node_id 4 for calling a global function with example usage: execute_with_gradients() and returns: func_ret,  None